Overview

Brought to you by YData

Dataset statistics

Number of variables21
Number of observations536634
Missing cells2471290
Missing cells (%)21.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory82.4 MiB
Average record size in memory161.0 B

Variable types

Numeric17
DateTime1
Categorical2
Boolean1

Alerts

fuel_price is highly overall correlated with yearHigh correlation
lag1_weekly_sales is highly overall correlated with rolling_avg_4weeks and 1 other fieldsHigh correlation
markdown1 is highly overall correlated with markdown4 and 1 other fieldsHigh correlation
markdown4 is highly overall correlated with markdown1High correlation
markdown5 is highly overall correlated with markdown1 and 1 other fieldsHigh correlation
month is highly overall correlated with weekHigh correlation
rolling_avg_4weeks is highly overall correlated with lag1_weekly_sales and 1 other fieldsHigh correlation
size is highly overall correlated with markdown5 and 1 other fieldsHigh correlation
store is highly overall correlated with typeHigh correlation
type is highly overall correlated with size and 1 other fieldsHigh correlation
week is highly overall correlated with monthHigh correlation
weekly_sales is highly overall correlated with lag1_weekly_sales and 1 other fieldsHigh correlation
year is highly overall correlated with fuel_priceHigh correlation
isholiday is highly imbalanced (69.2%) Imbalance
temperature has 115064 (21.4%) missing values Missing
fuel_price has 115064 (21.4%) missing values Missing
markdown1 has 385953 (71.9%) missing values Missing
markdown2 has 425386 (79.3%) missing values Missing
markdown3 has 399543 (74.5%) missing values Missing
markdown4 has 401667 (74.8%) missing values Missing
markdown5 has 385202 (71.8%) missing values Missing
type has 115064 (21.4%) missing values Missing
size has 115064 (21.4%) missing values Missing
rolling_avg_4weeks has 9941 (1.9%) missing values Missing
weekly_sales has 116422 (21.7%) zeros Zeros
lag1_weekly_sales has 113228 (21.1%) zeros Zeros
rolling_avg_4weeks has 105744 (19.7%) zeros Zeros

Reproduction

Analysis started2025-03-22 05:18:39.023961
Analysis finished2025-03-22 05:20:16.418228
Duration1 minute and 37.39 seconds
Software versionydata-profiling vv4.15.1
Download configurationconfig.json

Variables

store
Real number (ℝ)

High correlation 

Distinct45
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.208621
Minimum1
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 MiB
2025-03-22T05:20:16.597833image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q111
median22
Q333
95-th percentile43
Maximum45
Range44
Interquartile range (IQR)22

Descriptive statistics

Standard deviation12.79058
Coefficient of variation (CV)0.57592862
Kurtosis-1.1472033
Mean22.208621
Median Absolute Deviation (MAD)11
Skewness0.077554812
Sum11917901
Variance163.59895
MonotonicityIncreasing
2025-03-22T05:20:17.035880image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
13 13310
 
2.5%
10 13097
 
2.4%
4 13075
 
2.4%
2 13035
 
2.4%
1 13027
 
2.4%
24 13018
 
2.4%
27 13016
 
2.4%
6 12999
 
2.4%
34 12991
 
2.4%
20 12988
 
2.4%
Other values (35) 406078
75.7%
ValueCountFrequency (%)
1 13027
2.4%
2 13035
2.4%
3 11509
2.1%
4 13075
2.4%
5 11446
2.1%
6 12999
2.4%
7 12431
2.3%
8 12594
2.3%
9 11302
2.1%
10 13097
2.4%
ValueCountFrequency (%)
45 12263
2.3%
44 9241
1.7%
43 8614
1.6%
42 8915
1.7%
41 12842
2.4%
40 12755
2.4%
39 12582
2.3%
38 9349
1.7%
37 9219
1.7%
36 7940
1.5%

dept
Real number (ℝ)

Distinct81
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.277301
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 MiB
2025-03-22T05:20:17.545085image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q118
median37
Q374
95-th percentile95
Maximum99
Range98
Interquartile range (IQR)56

Descriptive statistics

Standard deviation30.527358
Coefficient of variation (CV)0.68945843
Kurtosis-1.2174062
Mean44.277301
Median Absolute Deviation (MAD)23
Skewness0.35914961
Sum23760705
Variance931.9196
MonotonicityNot monotonic
2025-03-22T05:20:17.984402image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 8190
 
1.5%
16 8190
 
1.5%
92 8190
 
1.5%
38 8190
 
1.5%
40 8190
 
1.5%
2 8190
 
1.5%
82 8190
 
1.5%
46 8190
 
1.5%
95 8190
 
1.5%
81 8190
 
1.5%
Other values (71) 454734
84.7%
ValueCountFrequency (%)
1 8190
1.5%
2 8190
1.5%
3 8190
1.5%
4 8190
1.5%
5 8085
1.5%
6 7563
1.4%
7 8190
1.5%
8 8190
1.5%
9 8108
1.5%
10 8190
1.5%
ValueCountFrequency (%)
99 1475
 
0.3%
98 7468
1.4%
97 7994
1.5%
96 6204
1.2%
95 8190
1.5%
94 7149
1.3%
93 7551
1.4%
92 8190
1.5%
91 8190
1.5%
90 8190
1.5%

date
Date

Distinct182
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.1 MiB
Minimum2010-02-05 00:00:00
Maximum2013-07-26 00:00:00
Invalid dates0
Invalid dates (%)0.0%
2025-03-22T05:20:19.031372image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:20:20.341326image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

weekly_sales
Real number (ℝ)

High correlation  Zeros 

Distinct358786
Distinct (%)66.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12554.753
Minimum0
Maximum693099.36
Zeros116422
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size4.1 MiB
2025-03-22T05:20:21.337389image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q149.8525
median4118.755
Q315497.417
95-th percentile54924.86
Maximum693099.36
Range693099.36
Interquartile range (IQR)15447.565

Descriptive statistics

Standard deviation21171.149
Coefficient of variation (CV)1.6863055
Kurtosis24.696187
Mean12554.753
Median Absolute Deviation (MAD)4118.755
Skewness3.5610279
Sum6.7373071 × 109
Variance4.4821754 × 108
MonotonicityNot monotonic
2025-03-22T05:20:22.183659image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 116422
 
21.7%
10 353
 
0.1%
5 289
 
0.1%
20 232
 
< 0.1%
15 215
 
< 0.1%
12 175
 
< 0.1%
1 169
 
< 0.1%
10.47 167
 
< 0.1%
11.97 154
 
< 0.1%
2 148
 
< 0.1%
Other values (358776) 418310
78.0%
ValueCountFrequency (%)
0 116422
21.7%
0.01 33
 
< 0.1%
0.02 38
 
< 0.1%
0.03 13
 
< 0.1%
0.04 20
 
< 0.1%
0.05 9
 
< 0.1%
0.06 23
 
< 0.1%
0.07 12
 
< 0.1%
0.08 21
 
< 0.1%
0.09 3
 
< 0.1%
ValueCountFrequency (%)
693099.36 1
< 0.1%
649770.18 1
< 0.1%
630999.19 1
< 0.1%
627962.93 1
< 0.1%
474330.1 1
< 0.1%
422306.25 1
< 0.1%
420586.57 1
< 0.1%
406988.63 1
< 0.1%
404245.03 1
< 0.1%
393705.2 1
< 0.1%

temperature
Real number (ℝ)

Missing 

Distinct3528
Distinct (%)0.8%
Missing115064
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean60.090059
Minimum-2.06
Maximum100.14
Zeros0
Zeros (%)0.0%
Negative69
Negative (%)< 0.1%
Memory size4.1 MiB
2025-03-22T05:20:22.784725image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2.06
5-th percentile27.31
Q146.68
median62.09
Q374.28
95-th percentile87.27
Maximum100.14
Range102.2
Interquartile range (IQR)27.6

Descriptive statistics

Standard deviation18.447931
Coefficient of variation (CV)0.30700471
Kurtosis-0.63592198
Mean60.090059
Median Absolute Deviation (MAD)13.63
Skewness-0.32140415
Sum25332166
Variance340.32616
MonotonicityNot monotonic
2025-03-22T05:20:23.057964image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50.43 709
 
0.1%
67.87 646
 
0.1%
72.62 594
 
0.1%
76.67 583
 
0.1%
70.28 563
 
0.1%
76.03 555
 
0.1%
50.56 544
 
0.1%
64.05 542
 
0.1%
64.21 519
 
0.1%
50.81 487
 
0.1%
Other values (3518) 415828
77.5%
(Missing) 115064
 
21.4%
ValueCountFrequency (%)
-2.06 69
< 0.1%
5.54 68
< 0.1%
6.23 69
< 0.1%
7.46 69
< 0.1%
9.51 70
< 0.1%
9.55 69
< 0.1%
10.09 66
< 0.1%
10.11 68
< 0.1%
10.24 69
< 0.1%
10.53 72
< 0.1%
ValueCountFrequency (%)
100.14 44
 
< 0.1%
100.07 46
 
< 0.1%
99.66 48
 
< 0.1%
99.22 185
< 0.1%
99.2 46
 
< 0.1%
98.43 43
 
< 0.1%
98.15 47
 
< 0.1%
97.66 42
 
< 0.1%
97.6 48
 
< 0.1%
97.18 187
< 0.1%

fuel_price
Real number (ℝ)

High correlation  Missing 

Distinct892
Distinct (%)0.2%
Missing115064
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean3.3610265
Minimum2.472
Maximum4.468
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 MiB
2025-03-22T05:20:23.318902image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2.472
5-th percentile2.653
Q12.933
median3.452
Q33.738
95-th percentile4.029
Maximum4.468
Range1.996
Interquartile range (IQR)0.805

Descriptive statistics

Standard deviation0.45851454
Coefficient of variation (CV)0.13642098
Kurtosis-1.1854045
Mean3.3610265
Median Absolute Deviation (MAD)0.375
Skewness-0.1049015
Sum1416908
Variance0.21023558
MonotonicityNot monotonic
2025-03-22T05:20:23.593236image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.638 2548
 
0.5%
3.63 2164
 
0.4%
2.771 1917
 
0.4%
3.891 1856
 
0.3%
3.594 1796
 
0.3%
3.524 1793
 
0.3%
3.523 1792
 
0.3%
2.72 1790
 
0.3%
3.666 1778
 
0.3%
2.78 1656
 
0.3%
Other values (882) 402480
75.0%
(Missing) 115064
 
21.4%
ValueCountFrequency (%)
2.472 38
 
< 0.1%
2.513 45
 
< 0.1%
2.514 906
0.2%
2.52 39
 
< 0.1%
2.533 42
 
< 0.1%
2.539 37
 
< 0.1%
2.54 147
 
< 0.1%
2.542 45
 
< 0.1%
2.545 38
 
< 0.1%
2.548 902
0.2%
ValueCountFrequency (%)
4.468 368
0.1%
4.449 358
0.1%
4.308 168
< 0.1%
4.301 360
0.1%
4.294 363
0.1%
4.293 192
< 0.1%
4.288 172
< 0.1%
4.282 173
< 0.1%
4.277 357
0.1%
4.273 366
0.1%

markdown1
Real number (ℝ)

High correlation  Missing 

Distinct2277
Distinct (%)1.5%
Missing385953
Missing (%)71.9%
Infinite0
Infinite (%)0.0%
Mean7246.4202
Minimum0.27
Maximum88646.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 MiB
2025-03-22T05:20:23.822653image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.27
5-th percentile149.19
Q12240.27
median5347.45
Q39210.9
95-th percentile21801.35
Maximum88646.76
Range88646.49
Interquartile range (IQR)6970.63

Descriptive statistics

Standard deviation8291.2213
Coefficient of variation (CV)1.1441817
Kurtosis17.606263
Mean7246.4202
Median Absolute Deviation (MAD)3430.74
Skewness3.3418447
Sum1.0918978 × 109
Variance68744351
MonotonicityNot monotonic
2025-03-22T05:20:24.035751image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.5 102
 
< 0.1%
460.73 102
 
< 0.1%
175.64 93
 
< 0.1%
1282.42 75
 
< 0.1%
9264.48 75
 
< 0.1%
686.24 75
 
< 0.1%
5924.71 75
 
< 0.1%
1483.17 75
 
< 0.1%
3124.45 74
 
< 0.1%
6809.96 74
 
< 0.1%
Other values (2267) 149861
 
27.9%
(Missing) 385953
71.9%
ValueCountFrequency (%)
0.27 51
< 0.1%
0.5 49
< 0.1%
1.5 102
< 0.1%
1.94 50
< 0.1%
2.12 52
< 0.1%
2.4 49
< 0.1%
2.42 50
< 0.1%
2.43 51
< 0.1%
2.8 50
< 0.1%
2.91 51
< 0.1%
ValueCountFrequency (%)
88646.76 68
< 0.1%
78124.5 70
< 0.1%
75149.79 73
< 0.1%
65021.23 73
< 0.1%
62567.6 66
< 0.1%
62172.73 72
< 0.1%
60740.64 70
< 0.1%
60394.73 72
< 0.1%
58928.52 72
< 0.1%
56917.7 71
< 0.1%

markdown2
Real number (ℝ)

Missing 

Distinct1499
Distinct (%)1.3%
Missing425386
Missing (%)79.3%
Infinite0
Infinite (%)0.0%
Mean3334.6286
Minimum-265.76
Maximum104519.54
Zeros207
Zeros (%)< 0.1%
Negative1311
Negative (%)0.2%
Memory size4.1 MiB
2025-03-22T05:20:24.275980image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-265.76
5-th percentile1.95
Q141.6
median192
Q31926.94
95-th percentile16497.47
Maximum104519.54
Range104785.3
Interquartile range (IQR)1885.34

Descriptive statistics

Standard deviation9475.3573
Coefficient of variation (CV)2.841503
Kurtosis37.589561
Mean3334.6286
Median Absolute Deviation (MAD)184.73
Skewness5.4412612
Sum3.7097076 × 108
Variance89782396
MonotonicityNot monotonic
2025-03-22T05:20:24.492009image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.91 539
 
0.1%
3 493
 
0.1%
0.5 485
 
0.1%
1.5 471
 
0.1%
4 367
 
0.1%
6 365
 
0.1%
7.64 354
 
0.1%
3.82 353
 
0.1%
19 345
 
0.1%
5.73 345
 
0.1%
Other values (1489) 107131
 
20.0%
(Missing) 425386
79.3%
ValueCountFrequency (%)
-265.76 71
< 0.1%
-192 72
< 0.1%
-20 72
< 0.1%
-10.98 60
< 0.1%
-10.5 143
< 0.1%
-9.98 68
< 0.1%
-9.94 62
< 0.1%
-7.6 69
< 0.1%
-7.01 69
< 0.1%
-6.69 69
< 0.1%
ValueCountFrequency (%)
104519.54 72
< 0.1%
97740.99 73
< 0.1%
92523.94 73
< 0.1%
89121.94 74
< 0.1%
82881.16 73
< 0.1%
72413.71 72
< 0.1%
70574.85 71
< 0.1%
58804.91 69
< 0.1%
58046.41 71
< 0.1%
56106.2 72
< 0.1%

markdown3
Real number (ℝ)

Missing 

Distinct1662
Distinct (%)1.2%
Missing399543
Missing (%)74.5%
Infinite0
Infinite (%)0.0%
Mean1439.4214
Minimum-29.1
Maximum141630.61
Zeros67
Zeros (%)< 0.1%
Negative257
Negative (%)< 0.1%
Memory size4.1 MiB
2025-03-22T05:20:24.696337image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-29.1
5-th percentile0.65
Q15.08
median24.6
Q3103.99
95-th percentile1059.9
Maximum141630.61
Range141659.71
Interquartile range (IQR)98.91

Descriptive statistics

Standard deviation9623.0783
Coefficient of variation (CV)6.6853796
Kurtosis77.687772
Mean1439.4214
Median Absolute Deviation (MAD)22.6
Skewness8.399453
Sum1.9733172 × 108
Variance92603636
MonotonicityNot monotonic
2025-03-22T05:20:24.913162image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 754
 
0.1%
6 710
 
0.1%
2 660
 
0.1%
1 611
 
0.1%
0.22 487
 
0.1%
0.5 463
 
0.1%
0.01 444
 
0.1%
4 439
 
0.1%
3.2 379
 
0.1%
1.98 363
 
0.1%
Other values (1652) 131781
 
24.6%
(Missing) 399543
74.5%
ValueCountFrequency (%)
-29.1 72
 
< 0.1%
-1 70
 
< 0.1%
-0.87 46
 
< 0.1%
-0.2 69
 
< 0.1%
0 67
 
< 0.1%
0.01 444
0.1%
0.02 124
 
< 0.1%
0.04 241
< 0.1%
0.05 71
 
< 0.1%
0.06 205
< 0.1%
ValueCountFrequency (%)
141630.61 74
< 0.1%
109030.75 75
< 0.1%
103991.94 72
< 0.1%
101378.79 73
< 0.1%
89402.64 71
< 0.1%
88805.58 72
< 0.1%
83340.33 74
< 0.1%
83192.81 74
< 0.1%
79621.2 72
< 0.1%
77451.26 73
< 0.1%

markdown4
Real number (ℝ)

High correlation  Missing 

Distinct1944
Distinct (%)1.4%
Missing401667
Missing (%)74.8%
Infinite0
Infinite (%)0.0%
Mean3383.1683
Minimum0.22
Maximum67474.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 MiB
2025-03-22T05:20:25.128290image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.22
5-th percentile28.76
Q1504.22
median1481.31
Q33595.04
95-th percentile12645.96
Maximum67474.85
Range67474.63
Interquartile range (IQR)3090.82

Descriptive statistics

Standard deviation6292.384
Coefficient of variation (CV)1.8599087
Kurtosis29.996815
Mean3383.1683
Median Absolute Deviation (MAD)1167.55
Skewness4.8475
Sum4.5661607 × 108
Variance39594097
MonotonicityNot monotonic
2025-03-22T05:20:25.363959image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 280
 
0.1%
4 200
 
< 0.1%
2 197
 
< 0.1%
3 146
 
< 0.1%
47 143
 
< 0.1%
67.72 142
 
< 0.1%
657.56 141
 
< 0.1%
17 141
 
< 0.1%
8 140
 
< 0.1%
1330.36 140
 
< 0.1%
Other values (1934) 133297
 
24.8%
(Missing) 401667
74.8%
ValueCountFrequency (%)
0.22 57
 
< 0.1%
0.41 52
 
< 0.1%
0.46 48
 
< 0.1%
0.78 52
 
< 0.1%
0.87 49
 
< 0.1%
0.92 45
 
< 0.1%
1.5 55
 
< 0.1%
1.88 48
 
< 0.1%
1.98 44
 
< 0.1%
2 197
< 0.1%
ValueCountFrequency (%)
67474.85 72
< 0.1%
57817.56 74
< 0.1%
57815.43 68
< 0.1%
53603.99 72
< 0.1%
52739.02 72
< 0.1%
48403.53 70
< 0.1%
48159.86 73
< 0.1%
48086.64 72
< 0.1%
47452.43 73
< 0.1%
46238.28 71
< 0.1%

markdown5
Real number (ℝ)

High correlation  Missing 

Distinct2293
Distinct (%)1.5%
Missing385202
Missing (%)71.8%
Infinite0
Infinite (%)0.0%
Mean4628.9751
Minimum135.16
Maximum108519.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 MiB
2025-03-22T05:20:25.578925image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum135.16
5-th percentile715.52
Q11878.44
median3359.45
Q35563.8
95-th percentile11269.24
Maximum108519.28
Range108384.12
Interquartile range (IQR)3685.36

Descriptive statistics

Standard deviation5962.8875
Coefficient of variation (CV)1.2881658
Kurtosis107.84927
Mean4628.9751
Median Absolute Deviation (MAD)1702.47
Skewness8.1699095
Sum7.0097495 × 108
Variance35556027
MonotonicityNot monotonic
2025-03-22T05:20:25.800673image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2743.18 136
 
< 0.1%
1064.56 120
 
< 0.1%
9083.54 75
 
< 0.1%
3567.03 75
 
< 0.1%
3557.67 75
 
< 0.1%
20371.02 75
 
< 0.1%
4180.29 75
 
< 0.1%
1773.53 74
 
< 0.1%
3932.94 74
 
< 0.1%
4464.45 74
 
< 0.1%
Other values (2283) 150579
 
28.1%
(Missing) 385202
71.8%
ValueCountFrequency (%)
135.16 65
< 0.1%
153.04 47
< 0.1%
153.9 49
< 0.1%
164.08 52
< 0.1%
170.64 69
< 0.1%
171.76 71
< 0.1%
180.07 64
< 0.1%
212.75 50
< 0.1%
224.86 50
< 0.1%
227.12 48
< 0.1%
ValueCountFrequency (%)
108519.28 68
< 0.1%
105223.11 70
< 0.1%
85851.87 68
< 0.1%
63005.58 69
< 0.1%
58068.14 69
< 0.1%
57029.78 68
< 0.1%
53212.72 70
< 0.1%
37581.27 70
< 0.1%
36430.33 71
< 0.1%
36360.42 72
< 0.1%

cpi
Real number (ℝ)

Distinct2145
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean172.29408
Minimum126.064
Maximum227.23281
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 MiB
2025-03-22T05:20:26.021157image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum126.064
5-th percentile126.60506
Q1132.15213
median182.53209
Q3214.19216
95-th percentile223.71143
Maximum227.23281
Range101.16881
Interquartile range (IQR)82.040028

Descriptive statistics

Standard deviation39.624185
Coefficient of variation (CV)0.22997995
Kurtosis-1.8228877
Mean172.29408
Median Absolute Deviation (MAD)42.097336
Skewness0.088032193
Sum92458864
Variance1570.076
MonotonicityNot monotonic
2025-03-22T05:20:26.271046image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
131.1930968 27712
 
5.2%
138.7281613 22235
 
4.1%
199.2195317 11075
 
2.1%
223.0783366 10381
 
1.9%
142.7624113 8191
 
1.5%
222.1136566 6600
 
1.2%
216.1515902 5597
 
1.0%
192.3088989 5467
 
1.0%
226.9873637 5363
 
1.0%
225.0686254 2860
 
0.5%
Other values (2135) 431153
80.3%
ValueCountFrequency (%)
126.064 678
0.1%
126.0766452 679
0.1%
126.0854516 675
0.1%
126.0892903 682
0.1%
126.1019355 686
0.1%
126.1069032 681
0.1%
126.1119032 682
0.1%
126.114 687
0.1%
126.1145806 689
0.1%
126.1266 683
0.1%
ValueCountFrequency (%)
227.2328068 2498
0.5%
227.214288 62
 
< 0.1%
227.1693919 63
 
< 0.1%
227.0369359 2769
0.5%
227.0184166 69
 
< 0.1%
226.9873637 5363
1.0%
226.9735448 69
 
< 0.1%
226.9688442 134
 
< 0.1%
226.9662325 63
 
< 0.1%
226.9239785 135
 
< 0.1%

unemployment
Real number (ℝ)

Distinct349
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.7427396
Minimum3.879
Maximum14.313
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 MiB
2025-03-22T05:20:26.481910image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3.879
5-th percentile5.114
Q16.565
median7.725
Q38.549
95-th percentile10.641
Maximum14.313
Range10.434
Interquartile range (IQR)1.984

Descriptive statistics

Standard deviation1.8561704
Coefficient of variation (CV)0.23973045
Kurtosis2.4980059
Mean7.7427396
Median Absolute Deviation (MAD)0.942
Skewness1.0252271
Sum4155017.3
Variance3.4453687
MonotonicityNot monotonic
2025-03-22T05:20:26.694740image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.17 11159
 
2.1%
10.199 8125
 
1.5%
6.228 7101
 
1.3%
7.992 6061
 
1.1%
7.293 6016
 
1.1%
4.145 6003
 
1.1%
7.557 5987
 
1.1%
8.839 5971
 
1.1%
8.667 5877
 
1.1%
6.034 5767
 
1.1%
Other values (339) 468567
87.3%
ValueCountFrequency (%)
3.879 3090
0.6%
4.077 938
 
0.2%
4.125 1831
 
0.3%
4.145 6003
1.1%
4.156 1815
 
0.3%
4.261 1829
 
0.3%
4.308 935
 
0.2%
4.42 1855
 
0.3%
4.584 1988
 
0.4%
4.607 935
 
0.2%
ValueCountFrequency (%)
14.313 2636
0.5%
14.18 2423
0.5%
14.099 2441
0.5%
14.021 2263
0.4%
13.975 1529
0.3%
13.736 2464
0.5%
13.503 2661
0.5%
12.89 2491
0.5%
12.187 2507
0.5%
11.627 2502
0.5%

type
Categorical

High correlation  Missing 

Distinct3
Distinct (%)< 0.1%
Missing115064
Missing (%)21.4%
Memory size4.1 MiB
A
215478 
B
163495 
C
42597 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters421570
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowA
2nd rowA
3rd rowA
4th rowA
5th rowA

Common Values

ValueCountFrequency (%)
A 215478
40.2%
B 163495
30.5%
C 42597
 
7.9%
(Missing) 115064
21.4%

Length

2025-03-22T05:20:26.867431image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-03-22T05:20:27.002482image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
a 215478
51.1%
b 163495
38.8%
c 42597
 
10.1%

Most occurring characters

ValueCountFrequency (%)
A 215478
51.1%
B 163495
38.8%
C 42597
 
10.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 421570
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
A 215478
51.1%
B 163495
38.8%
C 42597
 
10.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 421570
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
A 215478
51.1%
B 163495
38.8%
C 42597
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 421570
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
A 215478
51.1%
B 163495
38.8%
C 42597
 
10.1%

size
Real number (ℝ)

High correlation  Missing 

Distinct40
Distinct (%)< 0.1%
Missing115064
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean136727.92
Minimum34875
Maximum219622
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 MiB
2025-03-22T05:20:27.173221image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum34875
5-th percentile39690
Q193638
median140167
Q3202505
95-th percentile206302
Maximum219622
Range184747
Interquartile range (IQR)108867

Descriptive statistics

Standard deviation60980.583
Coefficient of variation (CV)0.44599951
Kurtosis-1.2063459
Mean136727.92
Median Absolute Deviation (MAD)62140
Skewness-0.32584977
Sum5.7640387 × 1010
Variance3.7186315 × 109
MonotonicityNot monotonic
2025-03-22T05:20:27.396741image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
39690 20802
 
3.9%
39910 20597
 
3.8%
203819 20376
 
3.8%
219622 10474
 
2.0%
126512 10315
 
1.9%
205863 10272
 
1.9%
151315 10244
 
1.9%
202307 10238
 
1.9%
204184 10225
 
1.9%
158114 10224
 
1.9%
Other values (30) 287803
53.6%
(Missing) 115064
 
21.4%
ValueCountFrequency (%)
34875 8999
1.7%
37392 9036
1.7%
39690 20802
3.9%
39910 20597
3.8%
41062 6751
 
1.3%
42988 7156
 
1.3%
57197 9443
1.8%
70713 9762
1.8%
93188 9864
1.8%
93638 9455
1.8%
ValueCountFrequency (%)
219622 10474
2.0%
207499 10062
1.9%
206302 10113
1.9%
205863 10272
1.9%
204184 10225
1.9%
203819 20376
3.8%
203750 10142
1.9%
203742 10214
1.9%
203007 10202
1.9%
202505 10211
1.9%

isholiday
Boolean

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size524.2 KiB
False
506973 
True
 
29661
ValueCountFrequency (%)
False 506973
94.5%
True 29661
 
5.5%
2025-03-22T05:20:27.528754image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

year
Categorical

High correlation 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.1 MiB
2012
154227 
2011
153453 
2010
140679 
2013
88275 

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters2146536
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2010
2nd row2010
3rd row2010
4th row2010
5th row2010

Common Values

ValueCountFrequency (%)
2012 154227
28.7%
2011 153453
28.6%
2010 140679
26.2%
2013 88275
16.4%

Length

2025-03-22T05:20:27.655725image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-03-22T05:20:27.784286image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2012 154227
28.7%
2011 153453
28.6%
2010 140679
26.2%
2013 88275
16.4%

Most occurring characters

ValueCountFrequency (%)
2 690861
32.2%
1 690087
32.1%
0 677313
31.6%
3 88275
 
4.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2146536
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2 690861
32.2%
1 690087
32.1%
0 677313
31.6%
3 88275
 
4.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2146536
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2 690861
32.2%
1 690087
32.1%
0 677313
31.6%
3 88275
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2146536
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2 690861
32.2%
1 690087
32.1%
0 677313
31.6%
3 88275
 
4.1%

month
Real number (ℝ)

High correlation 

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2952031
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 MiB
2025-03-22T05:20:27.943066image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q39
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.333808
Coefficient of variation (CV)0.5295791
Kurtosis-1.1222048
Mean6.2952031
Median Absolute Deviation (MAD)3
Skewness0.15184977
Sum3378220
Variance11.114276
MonotonicityNot monotonic
2025-03-22T05:20:28.094688image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3 53128
9.9%
4 53119
9.9%
7 52712
9.8%
5 50040
9.3%
6 49841
9.3%
2 47376
8.8%
12 41767
7.8%
11 38437
7.2%
10 38362
7.1%
9 38339
7.1%
Other values (2) 73513
13.7%
ValueCountFrequency (%)
1 35344
6.6%
2 47376
8.8%
3 53128
9.9%
4 53119
9.9%
5 50040
9.3%
6 49841
9.3%
7 52712
9.8%
8 38169
7.1%
9 38339
7.1%
10 38362
7.1%
ValueCountFrequency (%)
12 41767
7.8%
11 38437
7.2%
10 38362
7.1%
9 38339
7.1%
8 38169
7.1%
7 52712
9.8%
6 49841
9.3%
5 50040
9.3%
4 53119
9.9%
3 53128
9.9%

week
Real number (ℝ)

High correlation 

Distinct52
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.231581
Minimum1
Maximum52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 MiB
2025-03-22T05:20:28.275752image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q113
median24
Q337
95-th percentile50
Maximum52
Range51
Interquartile range (IQR)24

Descriptive statistics

Standard deviation14.554119
Coefficient of variation (CV)0.57682154
Kurtosis-1.1108094
Mean25.231581
Median Absolute Deviation (MAD)12
Skewness0.161594
Sum13540124
Variance211.82238
MonotonicityNot monotonic
2025-03-22T05:20:29.169469image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 11913
 
2.2%
6 11859
 
2.2%
9 11830
 
2.2%
10 11830
 
2.2%
15 11821
 
2.2%
19 11816
 
2.2%
14 11815
 
2.2%
16 11811
 
2.2%
5 11809
 
2.2%
18 11806
 
2.2%
Other values (42) 418324
78.0%
ValueCountFrequency (%)
1 8867
1.7%
2 8838
1.6%
3 8827
1.6%
4 8812
1.6%
5 11809
2.2%
6 11859
2.2%
7 11913
2.2%
8 11795
2.2%
9 11830
2.2%
10 11830
2.2%
ValueCountFrequency (%)
52 8934
1.7%
51 8985
1.7%
50 8958
1.7%
49 8947
1.7%
48 8905
1.7%
47 8935
1.7%
46 8833
1.6%
45 8864
1.7%
44 8843
1.6%
43 8855
1.7%

lag1_weekly_sales
Real number (ℝ)

High correlation  Zeros 

Distinct358786
Distinct (%)67.3%
Missing3342
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean12633.406
Minimum0
Maximum693099.36
Zeros113228
Zeros (%)21.1%
Negative0
Negative (%)0.0%
Memory size4.1 MiB
2025-03-22T05:20:29.418058image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q162.1125
median4201.51
Q315615.45
95-th percentile55074.468
Maximum693099.36
Range693099.36
Interquartile range (IQR)15553.338

Descriptive statistics

Standard deviation21213.982
Coefficient of variation (CV)1.6791973
Kurtosis24.591821
Mean12633.406
Median Absolute Deviation (MAD)4201.51
Skewness3.5518573
Sum6.7372944 × 109
Variance4.5003303 × 108
MonotonicityNot monotonic
2025-03-22T05:20:29.628700image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 113228
 
21.1%
10 349
 
0.1%
5 283
 
0.1%
20 231
 
< 0.1%
15 212
 
< 0.1%
12 168
 
< 0.1%
10.47 167
 
< 0.1%
1 162
 
< 0.1%
11.97 151
 
< 0.1%
2 146
 
< 0.1%
Other values (358776) 418195
77.9%
(Missing) 3342
 
0.6%
ValueCountFrequency (%)
0 113228
21.1%
0.01 33
 
< 0.1%
0.02 38
 
< 0.1%
0.03 13
 
< 0.1%
0.04 20
 
< 0.1%
0.05 9
 
< 0.1%
0.06 23
 
< 0.1%
0.07 12
 
< 0.1%
0.08 21
 
< 0.1%
0.09 3
 
< 0.1%
ValueCountFrequency (%)
693099.36 1
< 0.1%
649770.18 1
< 0.1%
630999.19 1
< 0.1%
627962.93 1
< 0.1%
474330.1 1
< 0.1%
422306.25 1
< 0.1%
420586.57 1
< 0.1%
406988.63 1
< 0.1%
404245.03 1
< 0.1%
393705.2 1
< 0.1%

rolling_avg_4weeks
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct399926
Distinct (%)75.9%
Missing9941
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean12651.872
Minimum0
Maximum339472.76
Zeros105744
Zeros (%)19.7%
Negative0
Negative (%)0.0%
Memory size4.1 MiB
2025-03-22T05:20:29.845127image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1105.0875
median4347.8375
Q315789.12
95-th percentile54730.856
Maximum339472.76
Range339472.76
Interquartile range (IQR)15684.033

Descriptive statistics

Standard deviation20735.369
Coefficient of variation (CV)1.6389171
Kurtosis13.478833
Mean12651.872
Median Absolute Deviation (MAD)4347.8375
Skewness3.1006095
Sum6.6636522 × 109
Variance4.2995553 × 108
MonotonicityNot monotonic
2025-03-22T05:20:30.064672image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 105744
 
19.7%
3.75 46
 
< 0.1%
15 36
 
< 0.1%
17.5 32
 
< 0.1%
10 30
 
< 0.1%
12.5 28
 
< 0.1%
5 28
 
< 0.1%
8.75 28
 
< 0.1%
96.8 27
 
< 0.1%
99 27
 
< 0.1%
Other values (399916) 420667
78.4%
(Missing) 9941
 
1.9%
ValueCountFrequency (%)
0 105744
19.7%
0.0025 1
 
< 0.1%
0.005 1
 
< 0.1%
0.0075 1
 
< 0.1%
0.01 2
 
< 0.1%
0.0125 1
 
< 0.1%
0.015 2
 
< 0.1%
0.0175 1
 
< 0.1%
0.02 3
 
< 0.1%
0.0225 2
 
< 0.1%
ValueCountFrequency (%)
339472.7575 1
< 0.1%
304916.97 1
< 0.1%
301363.6975 1
< 0.1%
276995.57 1
< 0.1%
275834.4775 1
< 0.1%
275824.745 1
< 0.1%
273813.13 1
< 0.1%
272014.385 1
< 0.1%
267259.175 1
< 0.1%
249502.33 1
< 0.1%

Interactions

2025-03-22T05:20:07.546051image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:18:58.184443image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:01.664027image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:06.945924image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:10.735168image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:14.418087image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:19.079336image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:23.239131image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:26.363979image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:29.752190image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:34.573320image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:38.366825image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:42.239610image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:46.809916image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:51.906856image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:55.920447image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:59.857152image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:20:07.800931image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:18:58.400527image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:01.869991image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:07.193280image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:10.936694image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:14.654621image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:19.390274image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:23.418555image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:26.563984image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:29.941157image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:34.869690image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:38.603103image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:42.472487image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:47.179883image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:52.138248image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:56.160983image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:20:00.121948image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:20:08.068437image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:18:58.609347image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:02.092410image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:07.416613image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:11.133350image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:14.869340image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:19.637831image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:23.585147image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:26.744890image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:30.495420image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:35.147306image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:38.854614image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:42.712891image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:47.539146image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:52.390672image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:56.420279image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:20:00.510798image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:20:08.361855image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:18:58.837799image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:02.409954image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:07.638546image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:11.366969image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:15.099904image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:19.928399image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:23.767833image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:26.937485image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:30.686837image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:35.458359image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:39.109359image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:42.972306image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:47.863029image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:52.663991image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:56.678940image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:20:00.833750image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:20:08.582584image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:18:59.036258image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:02.694642image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:07.875866image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:11.563442image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:15.345997image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:20.239199image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:23.957379image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:27.144502image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:30.878958image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:35.760648image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:39.354375image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:43.171575image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:48.199301image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:52.935108image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:56.919024image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:20:01.114290image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:20:08.803777image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:18:59.229885image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:02.947771image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:08.071717image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:11.996446image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:15.565072image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:20.535256image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:24.127076image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:27.366100image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:31.076247image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:35.998535image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:39.554574image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:43.362531image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:48.465970image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:53.148132image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:57.129391image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:20:01.460760image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:20:08.968982image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:18:59.390691image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:03.215402image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:08.291637image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:12.159938image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:15.734830image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:20.831965image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:24.314484image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:27.558102image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:31.316731image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:36.191762image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:39.720303image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:43.528890image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:48.770119image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:53.315671image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:57.305884image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:20:01.789588image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:20:09.176283image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:18:59.554164image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:03.485704image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:08.482756image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:12.341234image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:15.916135image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:21.418689image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:24.486908image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:27.740869image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:31.631092image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:36.361970image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:39.912576image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:43.711661image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:49.077038image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:53.511100image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:57.480464image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:20:02.276610image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:20:09.368425image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:18:59.730839image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:03.777381image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:08.677672image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:12.523537image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:16.103917image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:21.587708image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:24.670111image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:27.931858image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:31.933814image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:36.550262image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:40.091380image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:44.337678image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:49.396483image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:53.705370image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:57.697072image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:20:02.696553image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:20:09.578195image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:18:59.928473image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:04.067167image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:08.868383image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:12.699840image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:16.324234image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:21.771634image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:24.848966image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:28.161291image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:32.246613image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:36.749093image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:40.278648image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:44.513925image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:49.736043image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:53.888138image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:57.875257image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:20:03.259534image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:20:09.818200image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:00.133919image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:04.632214image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:09.092612image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:12.904598image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:16.573843image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:21.968974image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:25.036493image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:28.353566image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:32.509201image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:36.928422image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:40.504579image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:44.751534image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:50.095611image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:54.150519image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:58.109265image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:20:04.784248image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:20:10.079103image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:00.352911image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:04.893068image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:09.353446image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:13.103289image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:16.893867image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:22.134339image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:25.228458image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:28.546505image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:32.810529image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:37.098604image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:40.737951image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:44.996002image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:50.396556image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:54.428260image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:58.345499image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:20:05.066248image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:20:10.366305image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:00.550861image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:05.217960image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:09.576256image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:13.307821image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:17.224262image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:22.325665image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:25.408784image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:28.732336image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:33.084688image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:37.294592image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:40.989958image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:45.235894image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:50.622680image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:54.684716image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:58.582660image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:20:05.381472image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:20:10.612310image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:00.769777image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:05.580927image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:09.808470image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:13.560243image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:17.669214image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:22.508354image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:25.596410image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:28.938512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:33.346907image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:37.498812image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:41.238639image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:45.493034image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:50.853873image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:54.910350image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:58.839967image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:20:05.798070image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:20:10.878380image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:01.000196image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:05.943445image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:10.034220image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:13.761379image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:18.018163image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:22.673155image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:25.772877image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:29.133344image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:33.584767image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:37.705338image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:41.475768image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:45.728762image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:51.120616image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:55.147968image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:59.066596image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:20:06.287058image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:20:11.127304image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:01.210665image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:06.319724image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:10.265552image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:13.958769image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:18.414654image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:22.838487image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:25.947427image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:29.346682image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:33.904934image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:37.880799image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:41.719945image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:46.029214image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:51.422877image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:55.404062image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:59.324688image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:20:06.826207image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:20:11.415280image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:01.442416image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:06.698480image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:10.508114image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:14.175239image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:18.792064image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:23.024831image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:26.163275image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:29.558347image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:34.237116image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:38.067589image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:41.977707image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:46.381982image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:51.653202image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:55.666974image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:19:59.586798image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-03-22T05:20:07.269599image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-03-22T05:20:30.266866image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
cpideptfuel_priceisholidaylag1_weekly_salesmarkdown1markdown2markdown3markdown4markdown5monthrolling_avg_4weekssizestoretemperaturetypeunemploymentweekweekly_salesyear
cpi1.000-0.009-0.0410.034-0.123-0.017-0.099-0.111-0.0630.021-0.003-0.121-0.005-0.2270.1730.183-0.3910.001-0.1250.299
dept-0.0091.0000.0030.000-0.0090.0020.0030.0060.0070.0060.001-0.0100.0110.0140.0010.0800.0050.001-0.0090.012
fuel_price-0.0410.0031.0000.1360.0000.163-0.155-0.2180.073-0.088-0.046-0.0020.0040.0740.1280.088-0.060-0.0350.0020.652
isholiday0.0340.0000.1361.0000.0370.0570.3590.4580.1150.0600.3340.0310.0000.0000.1860.0000.0540.3840.0350.134
lag1_weekly_sales-0.123-0.0090.0000.0371.0000.1910.0560.1270.1050.2080.1000.9860.290-0.065-0.0210.0860.1450.0920.9830.046
markdown1-0.0170.0020.1630.0570.1911.0000.2060.1540.7590.508-0.1690.1900.499-0.2120.0020.1720.064-0.1890.1920.144
markdown2-0.0990.003-0.1550.3590.0560.2061.0000.0660.1160.152-0.4310.0570.1490.009-0.4620.0660.060-0.4340.0320.259
markdown3-0.1110.006-0.2180.4580.1270.1540.0661.0000.0020.2440.2870.1310.300-0.065-0.2570.0650.0430.2740.1350.323
markdown4-0.0630.0070.0730.1150.1050.7590.1160.0021.0000.380-0.1040.1010.288-0.0390.1410.0660.038-0.1320.1120.132
markdown50.0210.006-0.0880.0600.2080.5080.1520.2440.3801.0000.0480.2100.579-0.156-0.0710.094-0.0190.0320.2080.229
month-0.0030.001-0.0460.3340.100-0.169-0.4310.287-0.1040.0481.0000.119-0.0010.0010.2410.0000.0100.9960.0840.208
rolling_avg_4weeks-0.121-0.010-0.0020.0310.9860.1900.0570.1310.1010.2100.1191.0000.293-0.067-0.0250.1110.1400.1100.9750.094
size-0.0050.0110.0040.0000.2900.4990.1490.3000.2880.579-0.0010.2931.000-0.160-0.0430.851-0.066-0.0010.2900.001
store-0.2270.0140.0740.000-0.065-0.2120.009-0.065-0.039-0.1560.001-0.067-0.1601.000-0.0570.5380.2790.001-0.0640.000
temperature0.1730.0010.1280.186-0.0210.002-0.462-0.2570.141-0.0710.241-0.025-0.043-0.0571.0000.1230.0300.243-0.0200.113
type0.1830.0800.0880.0000.0860.1720.0660.0650.0660.0940.0000.1110.8510.5380.1231.0000.1810.0000.0860.003
unemployment-0.3910.005-0.0600.0540.1450.0640.0600.0430.038-0.0190.0100.140-0.0660.2790.0300.1811.0000.0050.1490.272
week0.0010.001-0.0350.3840.092-0.189-0.4340.274-0.1320.0320.9960.110-0.0010.0010.2430.0000.0051.0000.0760.198
weekly_sales-0.125-0.0090.0020.0350.9830.1920.0320.1350.1120.2080.0840.9750.290-0.064-0.0200.0860.1490.0761.0000.046
year0.2990.0120.6520.1340.0460.1440.2590.3230.1320.2290.2080.0940.0010.0000.1130.0030.2720.1980.0461.000

Missing values

2025-03-22T05:20:11.764995image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-03-22T05:20:12.869945image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-03-22T05:20:14.648684image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

storedeptdateweekly_salestemperaturefuel_pricemarkdown1markdown2markdown3markdown4markdown5cpiunemploymenttypesizeisholidayyearmonthweeklag1_weekly_salesrolling_avg_4weeks
0112010-02-0524924.5042.312.572NaNNaNNaNNaNNaN211.0963588.106A151315.0False201025NaNNaN
1122010-02-0550605.2742.312.572NaNNaNNaNNaNNaN211.0963588.106A151315.0False201025NaNNaN
2132010-02-0513740.1242.312.572NaNNaNNaNNaNNaN211.0963588.106A151315.0False201025NaNNaN
3142010-02-0539954.0442.312.572NaNNaNNaNNaNNaN211.0963588.106A151315.0False201025NaNNaN
4152010-02-0532229.3842.312.572NaNNaNNaNNaNNaN211.0963588.106A151315.0False201025NaNNaN
5162010-02-055749.0342.312.572NaNNaNNaNNaNNaN211.0963588.106A151315.0False201025NaNNaN
6172010-02-0521084.0842.312.572NaNNaNNaNNaNNaN211.0963588.106A151315.0False201025NaNNaN
7182010-02-0540129.0142.312.572NaNNaNNaNNaNNaN211.0963588.106A151315.0False201025NaNNaN
8192010-02-0516930.9942.312.572NaNNaNNaNNaNNaN211.0963588.106A151315.0False201025NaNNaN
91102010-02-0530721.5042.312.572NaNNaNNaNNaNNaN211.0963588.106A151315.0False201025NaNNaN
storedeptdateweekly_salestemperaturefuel_pricemarkdown1markdown2markdown3markdown4markdown5cpiunemploymenttypesizeisholidayyearmonthweeklag1_weekly_salesrolling_avg_4weeks
53662445852013-07-260.0NaNNaNNaNNaNNaNNaNNaN192.3088998.667NaNNaNFalse20137300.00.0
53662545872013-07-260.0NaNNaNNaNNaNNaNNaNNaN192.3088998.667NaNNaNFalse20137300.00.0
53662645902013-07-260.0NaNNaNNaNNaNNaNNaNNaN192.3088998.667NaNNaNFalse20137300.00.0
53662745912013-07-260.0NaNNaNNaNNaNNaNNaNNaN192.3088998.667NaNNaNFalse20137300.00.0
53662845922013-07-260.0NaNNaNNaNNaNNaNNaNNaN192.3088998.667NaNNaNFalse20137300.00.0
53662945932013-07-260.0NaNNaNNaNNaNNaNNaNNaN192.3088998.667NaNNaNFalse20137300.00.0
53663045942013-07-260.0NaNNaNNaNNaNNaNNaNNaN192.3088998.667NaNNaNFalse20137300.00.0
53663145952013-07-260.0NaNNaNNaNNaNNaNNaNNaN192.3088998.667NaNNaNFalse20137300.00.0
53663245972013-07-260.0NaNNaNNaNNaNNaNNaNNaN192.3088998.667NaNNaNFalse20137300.00.0
53663345982013-07-260.0NaNNaNNaNNaNNaNNaNNaN192.3088998.667NaNNaNFalse20137300.00.0